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Learn about the fundamental concepts of supervised learning in this comprehensive lecture that continues the badges game before diving into the essential spaces of supervised learning. Explore the instance space, label space, and hypothesis space while understanding their critical roles in machine learning. Discover through examples why selecting the appropriate hypothesis space is crucial for successful machine learning implementations. Gain valuable insights into the general framework and setup of supervised learning systems that form the foundation for more advanced machine learning concepts.
Syllabus
Lecture 2: Supervised Learning - The setup
Taught by
UofU Data Science